How can we effectively balance AI performance with data privacy?

1. Implement data anonymization and encryption techniques to protect sensitive information. 2. Use privacy-preserving methods like differential privacy to maintain data integrity. 3. Employ robust access controls and conduct regular audits to prevent unauthorized data access. 4. Optimize AI algorithms to work effectively with minimal, anonymized data, ensuring high performance without compromising privacy. What strategies do you use to achieve this balance in your AI projects?